code: def find_wordnet_entity(np):
      """
      extract WordNet indicator-feature (1 if exist in WordNet, else 0)
  
      Args:
          np (str): a noun-phrase
  
      Returns:
          int: 1 if exist in WordNet, else 0
      """
      candidates = expand_np_candidates(np, True)
      return wordnet.find_wordnet_existence(candidates)
  
imports: import argparse
  import csv
  import math
  import os
  from multiprocessing import Pool
  import feature_extraction
  import numpy
  from tqdm import tqdm
  from nlp_architect.utils.io import validate_existing_filepath, validate_parent_exists, validate_proxy_path
label_desc: Use image node_id 2 for calling a global function with example usage: find_wordnet_entity(np) and returns: wordnet